KRIS INFOTECH PTE. LTD.
Technical Lead - Data Engineer
Visa Source Listed
📍🇸🇬 Singapore📅7h ago
S$1,14,000—S$1,44,000/ year
≈ ₹71L — ₹90L per year
Snowflake Cloud Data WarehouseAirflowSSRS ReportsApache SparkKubernetesPostgreSQLAzure DevOpsAmazon RedshiftMySQLETLSSASMicrosoft SQL ServerDBTMicroservices DesignMDX
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Job Description
Job Description:
- Bachelor's degree in Computer Science, IT, Engineering, or related field with demonstrated continuous learning ethos.
- Minimum 10 years of hands-on experience in the design, development, and maintenance of large-scale Microsoft BI solutions in enterprise environments, ideally within banking, financial services, or a similarly regulated industry.
- Proven experience delivering end-to-end BI solutions from requirements gathering through to production support, across multiple concurrent business domains.
- Demonstrated experience in a technical lead or senior individual contributor capacity, including solution design ownership, code reviews, and team mentoring.
- Solid understanding of SDLC and/or Agile/Scrum development frameworks and methodologies.
Must-have qualifications:
- SQL Server (2017, 2019, 2022): Deep expertise in the database engine, query optimisation, indexing strategies, and complex data retrieval and manipulation at scale.
- ETL Development: Proficient in designing and building robust, large-scale ETL pipelines using SSIS, including custom scripting with C# for advanced data manipulation tasks; experience with BIML for automated SSIS package generation is a strong advantage.
- Reporting & Visualisation: Hands-on experience developing enterprise reports and dashboards using SSRS and Power BI, including Power BI Service, Row-Level Security, and deployment pipelines.
- SSAS & Analytical Modelling: Strong expertise in SSAS Tabular model development.
- Proficient in DAX and MDX for complex analytical calculations and KPI modelling.
- Data Warehousing & Architecture: Strong command of data warehouse design principles including dimensional modelling (star/snowflake schemas), data marts, slowly changing dimensions, and data lineage — with experience maintaining and evolving large-scale DWH environments.
- Open-Source Data Pipelines: Hands-on experience building and maintaining data pipelines using open-source frameworks such as Apache Airflow, Apache Spark / PySpark, or dbt, complementing the core Microsoft BI stack.
- Broader Database & DWH Platforms: Working experience with non-Microsoft database and DWH platforms such as PostgreSQL, MySQL, Snowflake, Amazon Redshift, or Google BigQuery, demonstrating versatility across data ecosystems.
- CI/CD & DevOps: Experience implementing Continuous Integration / Continuous Deployment pipelines using Azure DevOps or equivalent tooling, including automated testing and release management for BI artefacts.
Requirements:
Preferred qualifications:
- Experience with on-premise data virtualization or logical data warehouse concepts.
- Understanding of data mesh or data fabric architecture patterns.
- Familiarity with Kubernetes, microservices architectures, or containerised data workloads in a hybrid environment.
- Metadata management and data lineage tools.
- Experience mentoring junior engineers or leading technical initiatives.
- Agile delivery methodologies and product-oriented data architecture.
Other Professional Skills and Mind-set:
- Autonomous Work Ethic – Work independently on complex problems while proactively seeking collaboration.
- Continuous Learning – Committed to staying current with data engineering trends and best practices.
- Analytical & Problem-Solving – Approaches complex data and business challenges with structured thinking, sound judgement, and a pragmatic, solution-oriented mindset.